AI Data Scientist - Hybrid Role with Impact & Growth

Placements24; Bloemfontein; Hybrid; ZAR 600,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work model

Health and retirement benefits

Professional development

Collaborative team environment

Data-driven solutions

Job summary

Placements24 in Bloemfontein is seeking an AI Data Scientist to join a hybrid team and leverage data analysis, statistical modeling and machine learning to derive insights and build predictive models.

The role requires strong Python or R skills, a Master’s or PhD in a quantitative field, and 3+ years of experience in AI/ML applications, with collaboration across cross-functional teams and opportunities for continuous learning.

Qualifications

• Master's or PhD in a quantitative field.
• 3+ years of Data Scientist experience with AI/ML.
• Proficiency in Python or R and data science libraries.
• Strong grasp of statistical modeling and data mining techniques.
• Experience with data visualization tools.

Responsibilities

• Analyze large, complex datasets to identify trends and insights relevant to business objectives.
• Develop, train, and evaluate machine learning models for predictive and classification tasks.
• Design and implement experiments to test hypotheses and validate model performance.
• Collaborate with engineers to deploy models into production environments.
• Communicate findings and recommendations clearly to stakeholders.

Skills

Data analysis

Machine learning

Statistical modeling

Experiment design

Data visualization

Education

Master's degree in Data Science

PhD in a quantitative field

Tools

Python

R

pandas

NumPy

scikit-learn

Job description

Placements24 in Bloemfontein is seeking an AI Data Scientist to join a hybrid team and leverage data analysis, statistical modeling and machine learning to derive insights and build predictive models.

The role requires strong Python or R skills, a Master’s or PhD in a quantitative field, and 3+ years of experience in AI/ML applications, with collaboration across cross-functional teams and opportunities for continuous learning.